Just a thought I had. Right now, I can pass a list of python ints or
floats into np.array() and get a numpy array with a sensible dtype. Is
there any reason why we can't do the same for python's datetime? Right
now, it is very easy for me to make a list comprehension of datetime
objects using strptime(), but it is very awkward to make a numpy array out
of it.
The only barrier I can think of are those who have already built code
around a object dtype array of datetime objects.
Thoughts?
Ben Root
P.S. - what ever happened to arange() and linspace() for datetime64?
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